Metaheuristics for hard optimization: methods and case studies
Saved in:
| Format: | Book |
|---|---|
| Language: | English |
| Published: |
Berlin ; Heidelberg ; New York
Springer
2006
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Literaturverz. S. 347 - 364 Auch als Internetausgabe |
| Physical Description: | XII, 369 S. Ill., graph. Darst. 24 cm |
| ISBN: | 9783540230229 354023022X 9783642061943 364206194X |
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MARC
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| 245 | 1 | 0 | |a Metaheuristics for hard optimization |b methods and case studies |c J. Dréo ... |
| 264 | 1 | |a Berlin ; Heidelberg ; New York |b Springer |c 2006 | |
| 300 | |a XII, 369 S. |b Ill., graph. Darst. |c 24 cm | ||
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| 337 | |b n |2 rdamedia | ||
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Record in the Search Index
| _version_ | 1805071004730392576 |
|---|---|
| adam_text |
Contents
Introduction
Part I Presentation of the Main Metaheuristics
1
1.1
1.2
1.2.1
physical phenomena
1.2.2
1.2.3
1.3
1.3.1
1.3.2
1.3.3
1.3.4
1.4
1.5
1.5.1
1.5.2
1.5.3
1.5.4
1.6
1.7
1.8
2
2.1
2.2
2.3
VIII Contents
2.3.1
2.3.2
2.3.3
2.4
2.5
2.5.1
2.5.2
2.5.3
2.5.4
2.6
2.7
2.7.1
2.7.2
2.8
2.9
2.10
3
3.1
3.2
3.2.1
3.2.2
3.2.3
3.2.4
3.3
3.3.1
3.3.2
3.3.3
3.3.4
3.3.5
3.3.6
3.3.7
3.4
3.4.1
3.4.2
3.4.3
3.4.4
problems
3.4.5
programming
3.5
3.6
algorithms
3.7
3.8
Contents
3.9
4
4.1
4.2
4.2.1
4.2.2
4.3
problem
4.3.1
4.3.2
4.3.3
4.4
4.5
4.5.1
4.5.2
4.5.3
4.5.4
4.5.5
4.5.6
4.6
4.6.1
4.6.2
4.6.3
4.6.4
4.7
4.8
Part II Variants, Extensions and Methodological Advices
5
5.1 '
5.2
5.2.1
5.2.2
5.2.3
5.2.4
5.2.5
5.3
5.4
5.5
5.6
5.7
5.8
X
5.9
5.10
5.11
5.12
5.13
6
6.1
6.2
6.2.1
6.2.2
6.3 Multimodal
6.3.1
6.3.2
6.3.3
6.3.4
6.3.5
6.4
6.4.1
6.4.2
6.4.3
6.5
6.5.1
6.5.2
6.5.3
6.5.4
6.5.5
6.6
6.7
7
7.1
7.2
7.3
7.3.1
7.3.2
7.3.3
7.3.4
7.4
7.5
7.5.1
7.5.2
7.5.3
7.5.4
7.5.5
Contents
7.6 Iterative
7.6.1
7.6.2
7.7
7.8
Part III Case Studies
8
Genetic Algorithms
8.1
8.2
8.2.1
8.2.2
8.2.3
8.3
8.3.1
8.3.2
8.4
8.4.1
8.4.2
8.4.3
8.5
8.5.1
8.5.2
8.5.3
8.5.4
8.5.5
8.6
9
9.1
9.1.1
9.1.2
9.1.3
9.1.4
9.1.5
9.1.6
9.1.7
9.2
9.2.1
9.2.2
9.2.3
9.2.4
XII Contents
9.3
10
Vehicle Routing Problems
10.1
10.2
10.2.1
10.2.2
10.2.3
Dispatcher
10.3
10.3.1
10.3.2
programming
10.3.3
10.4
10.5
Conclusion
Appendices
A Modeling of Simulated Annealing Through the Markov
Chain Formalism
В
the Quadratic Assignment Problem
References
Index |
| adam_txt |
Contents
Introduction
Part I Presentation of the Main Metaheuristics
1
1.1
1.2
1.2.1
physical phenomena
1.2.2
1.2.3
1.3
1.3.1
1.3.2
1.3.3
1.3.4
1.4
1.5
1.5.1
1.5.2
1.5.3
1.5.4
1.6
1.7
1.8
2
2.1
2.2
2.3
VIII Contents
2.3.1
2.3.2
2.3.3
2.4
2.5
2.5.1
2.5.2
2.5.3
2.5.4
2.6
2.7
2.7.1
2.7.2
2.8
2.9
2.10
3
3.1
3.2
3.2.1
3.2.2
3.2.3
3.2.4
3.3
3.3.1
3.3.2
3.3.3
3.3.4
3.3.5
3.3.6
3.3.7
3.4
3.4.1
3.4.2
3.4.3
3.4.4
problems
3.4.5
programming
3.5
3.6
algorithms
3.7
3.8
Contents
3.9
4
4.1
4.2
4.2.1
4.2.2
4.3
problem
4.3.1
4.3.2
4.3.3
4.4
4.5
4.5.1
4.5.2
4.5.3
4.5.4
4.5.5
4.5.6
4.6
4.6.1
4.6.2
4.6.3
4.6.4
4.7
4.8
Part II Variants, Extensions and Methodological Advices
5
5.1 '
5.2
5.2.1
5.2.2
5.2.3
5.2.4
5.2.5
5.3
5.4
5.5
5.6
5.7
5.8
X
5.9
5.10
5.11
5.12
5.13
6
6.1
6.2
6.2.1
6.2.2
6.3 Multimodal
6.3.1
6.3.2
6.3.3
6.3.4
6.3.5
6.4
6.4.1
6.4.2
6.4.3
6.5
6.5.1
6.5.2
6.5.3
6.5.4
6.5.5
6.6
6.7
7
7.1
7.2
7.3
7.3.1
7.3.2
7.3.3
7.3.4
7.4
7.5
7.5.1
7.5.2
7.5.3
7.5.4
7.5.5
Contents
7.6 Iterative
7.6.1
7.6.2
7.7
7.8
Part III Case Studies
8
Genetic Algorithms
8.1
8.2
8.2.1
8.2.2
8.2.3
8.3
8.3.1
8.3.2
8.4
8.4.1
8.4.2
8.4.3
8.5
8.5.1
8.5.2
8.5.3
8.5.4
8.5.5
8.6
9
9.1
9.1.1
9.1.2
9.1.3
9.1.4
9.1.5
9.1.6
9.1.7
9.2
9.2.1
9.2.2
9.2.3
9.2.4
XII Contents
9.3
10
Vehicle Routing Problems
10.1
10.2
10.2.1
10.2.2
10.2.3
Dispatcher
10.3
10.3.1
10.3.2
programming
10.3.3
10.4
10.5
Conclusion
Appendices
A Modeling of Simulated Annealing Through the Markov
Chain Formalism
В
the Quadratic Assignment Problem
References
Index |
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| discipline_str_mv | Maschinenbau / Maschinenwesen Mathematik Wirtschaftswissenschaften |
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| isbn | 9783540230229 354023022X 9783642061943 364206194X |
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| spelling | Metaheuristics for hard optimization methods and case studies J. Dréo ... Berlin ; Heidelberg ; New York Springer 2006 XII, 369 S. Ill., graph. Darst. 24 cm txt rdacontent n rdamedia nc rdacarrier Literaturverz. S. 347 - 364 Auch als Internetausgabe Metaheuristik (DE-588)4820176-5 gnd rswk-swf Optimierungsproblem (DE-588)4390818-4 gnd rswk-swf Optimierungsproblem (DE-588)4390818-4 s Metaheuristik (DE-588)4820176-5 s DE-604 Dréo, Johann Sonstige oth Digitalisierung UB Passau application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014884954&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Metaheuristics for hard optimization methods and case studies Metaheuristik (DE-588)4820176-5 gnd Optimierungsproblem (DE-588)4390818-4 gnd |
| subject_GND | (DE-588)4820176-5 (DE-588)4390818-4 |
| title | Metaheuristics for hard optimization methods and case studies |
| title_auth | Metaheuristics for hard optimization methods and case studies |
| title_exact_search | Metaheuristics for hard optimization methods and case studies |
| title_exact_search_txtP | Metaheuristics for hard optimization methods and case studies |
| title_full | Metaheuristics for hard optimization methods and case studies J. Dréo ... |
| title_fullStr | Metaheuristics for hard optimization methods and case studies J. Dréo ... |
| title_full_unstemmed | Metaheuristics for hard optimization methods and case studies J. Dréo ... |
| title_short | Metaheuristics for hard optimization |
| title_sort | metaheuristics for hard optimization methods and case studies |
| title_sub | methods and case studies |
| topic | Metaheuristik (DE-588)4820176-5 gnd Optimierungsproblem (DE-588)4390818-4 gnd |
| topic_facet | Metaheuristik Optimierungsproblem |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014884954&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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